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---
license: apache-2.0
language:
- en
- tr
metrics:
- accuracy
base_model:
- microsoft/resnet-50
pipeline_tag: image-classification
library_name: keras
tags:
- image-classification
- resnet50
- transfer-learning
---
# ALSATIX ResNet50 Model
This model is trained to classify images into 5 categories:
1. **Alkol**: Alcohol-related images
2. **Normal**: Regular images
3. **NSFW**: Not Safe for Work images
4. **Silah**: Weapon-related images
5. **Tutun**: Tobacco-related images
## Model Architecture
- Base: ResNet50 pre-trained on ImageNet
- Custom top layers: Dense (256 units), Dropout (0.5), Output (5 classes)
## Usage
To use this model for image classification:
```python
from transformers import TFAutoModelForImageClassification, AutoImageProcessor
model = TFAutoModelForImageClassification.from_pretrained("iammbrn/alsatix_image_control_model")
processor = AutoImageProcessor.from_pretrained("iammbrn/alsatix_image_control_model")
# Preprocess your image
image = processor(image, return_tensors="pt")
predictions = model(**image) |